Gender: Female 
Age: 45-54
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Nothing 
Education: High school or below
Mother's education: Graduate degree
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 3
Home: Other (Please specify) Live with elderly parents for free. They 'own' the house. 
Employment: Employed full time
Occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Mother's occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Father's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Hobbies: Listen to rock/indie music;Exercise;Other (Please specify) Novelist, Beginner 
Devices used daily: Smartphone;Other Desktop
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;Google Gemini;Other;Pi Copilot
LLM use cases: Translation;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Generic chatbot conversation;Analyze data;Generate art;Learning (e.g., explaining complex concepts in simple terms);Get information about current events;Answering questions about general knowledge 
Contexts of LLM use: Work;Entertainment;Learning;Personal;Creative or artistic 
Prompt 1: its real, every day footage. the cars look like taxis or something?
Prompt 2: why in 90s video footage of dean street, soho, london, do i see a bunch of old timey cars
Prompt 3: Now tell me about Admiral Duncan  - late 90s
Prompt 4: Tell me more about pawnbrokers and its clientelle, think the late 90s
Prompt 5: what about pawnbrokers, the pub
Prompt 6: when did it open
Prompt 7: how long has sunsetstrip uk on dean street been around
Prompt 8: tell me about its clientelle?
Prompt 9: so was it a bar in the late 90s?
Prompt 10: the crown chairmen on dean street, how long has it been in operation?
Comments: I use chatbots mostly for writing (synonyms and rephrasing), and for research, but the research has to be double checked because chatbots hallucinate facts on nearly every turn.